DocumentCode :
1237213
Title :
Understanding and Automating Algorithm Design
Author :
Kant, Elaine
Author_Institution :
Schlumberger-Doll Research
Issue :
11
fYear :
1985
Firstpage :
1361
Lastpage :
1374
Abstract :
Algorithm design is a challenging intellectual activity that provides a rich source of observation and a test domain for a theory of problem-solving behavior. This paper describes a theory of the algorithm design process based on observations of human design and also outlines a framework for automatic design. The adaptation of the theory of human design to a framework for automation in the DESIGNER system helps us understand human design better, and the implementation process helps validate the framework. Issues discussed in this paper include the problem spaces used for design, the loci of knowledge and problem-solving power, and the relationship to other methods of algorithm design and to automatic programming as a whole.
Keywords :
Automatic programming; automating algorithm design; human problem solving; program synthesis; protocol analysis; Algorithm design and analysis; Automatic programming; Design automation; Design methodology; High level languages; Humans; Problem-solving; Process design; Protocols; Testing; Automatic programming; automating algorithm design; human problem solving; program synthesis; protocol analysis;
fLanguage :
English
Journal_Title :
Software Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0098-5589
Type :
jour
DOI :
10.1109/TSE.1985.231884
Filename :
1701952
Link To Document :
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